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Security Scan Report: pancakeswap-router-dapp-connect-v919.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b5e8e8e3-1b6e-45ba-8b49-c791fc12434aDomain and IP registration (RDAP)/api/v1/rdap/b5e8e8e3-1b6e-45ba-8b49-c791fc12434aHow often this domain was scanned/api/v1/domain/stats/pancakeswap-router-dapp-connect-v919.vercel.appScan history for this domain/api/v1/domain/history/pancakeswap-router-dapp-connect-v919.vercel.app?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://pancakeswap-router-dapp-connect-v919.vercel.app/

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Dead Vercel deployment whose hostname impersonates PancakeSwap in wallet-lure style and carries a single-source phishing report; no live forms, but the address should be treated as malicious.

Risk Factors (5)
Deceptive hostname impersonating the PancakeSwap brand on a non-official domain
Primary-domain phishing threat-intel match (single-source, unverified)
Free/shared hosting platform subdomain with unknown creation date, commonly abused for throwaway phishing deployments
Domain unranked in Cisco Umbrella despite claiming a major DeFi brand
Wallet-connect style naming typical of crypto drainer landing pages
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pancakeswap-router-dapp-connect-v919.vercel.app' is registered and includes subdomain 'pancakeswap-router-dapp-connect-v919'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

This page doesn’t exist It may have been moved, removed, or never existed. 494 DEPLOYMENT_NOT_FOUND arnd: :mmxjj-1792857190362-7F2de62F41F VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.21s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
news media journalism
33%
government public service
31%
healthcare medical
31%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CF1EA9170653A3EF2378922189B511C313CE006ED275EDA998A45F09EDE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjq5RA7XOuT24gEcy5m:SuGh84BFy571GzkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIoAIoiCgWNBiLAMESIgEQyfCEAhkTFRWkEBAGCYAG4

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4243c3820
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data